Recently, we have observed big technological developments as the world is becoming digitised, and more companies are accepting software testing as an early activity in their organisation.
Organisations across the globe want to produce high-quality software products in the market, making companies carry out various testing and know the latest software testing trends to ensure that the software meets high-quality standards.
This year and 2023, too, will mark the result of great changes in organisations and digital transformation, thereby requiring organisations to constantly innovate and reinvent themselves. Companies aim to get their applications faster to the market. This raises the need for software testing for every company.
So what will the software testing trends in 2023 be? Here are a few software testing trends for the year 2023.
Let’s dive in!
- QAOps
This is one of the growing trends in software testing, a combination of Quality assurance (QA) and IT operations. QAOps utilises a DevOps-based method to achieve high-quality software. It ensures faster delivery to the market without no compromising.
QAOps helps to promote the collaboration between test engineers and developers by integrating QA tasks into the Continuous Integration (CI)/Continuous Deployment (CD) pipeline. This implies that the testing teams are actively involved in the continuous integration and development. However most companies are already using DevOps practices, but QAOps will evolve into the next big thing in the coming days.
Read also: What is Software Quality Assurance, and Why Is It Important?
- Internet of Things (IoT) Testing
Heard of IoT testing, this is the latest trend in the software industry, and IoT testing is growing in popularity.
The Internet of Things (IoT) devices are digitally related devices that connect wirelessly to a network and streamline data flow over the network.
Reports to the Gartner forecast, the installed base of active IoT-connected devices will reach 21.5 billion units by 2025. This proves the growing abilities of the Internet of Things.
The main goal of IoT testing is to guarantee the safe transmission of data over the internet. It also helps to check the performance and functionality. Some common types of testing in the IoT testing plan include usability testing, compatibility testing and data integrity testing, etc.
- Scriptless automation testing
Scriptless automation testing utilises tools to automate tests rather than writing scripts.
Scriptless Automation Tools enable teams not to spend extensive hours of programming; these tools offer much flexibility and generate reusable test cases, empowering testers to automate reusable and robust tests by combining AI and ML algorithms into the self-healing mechanism and consistent results. This has been endorsed as one of the most increasingly prominent software testing trends in 2023.
Read also: The Top Six Automation Testing Trends to Lookout for in 2022
- Agile testing
Agile is an approach to software development that emphasises incremental delivery, continual planning, continual learning and team collaboration.
Companies are adopting Agile testing to shorten the software lifecycles from development to delivery and operation to improve the quality of released products. Agile testing conducts tests during every iteration of the software development cycle, testing methods that include test-driven development, exploratory testing, session-based testing, behaviour-driven development etc.
Read also: Agile Software Development Lifecycle Phases Explained
- Cybersecurity testing
Would not need Cybersecurity testing for his organisation with the rate of hackers and threats on the rise.
Cybersecurity testing enables organisations to protect software applications from hackers and viruses using a testing approach. It enables companies to identify susceptible areas and prevent security breaches. This testing uses multiple methods and tactics to protect your application from viruses and keeps the private data of stakeholders, users, and other important data safe.
- Artificial Intelligence and Machine Learning (AI & ML)
Artificial Intelligence and Machine Learning (AI & ML) are one of the latest trends in the software industry. And have quite altered the value proposition and abilities of the global business and industry.
The goal of AI & ML is to be able to identify bugs and generate tests. It uses predictive models to recognise the different features for testing and prepare specific test plans.
Market surveys and reports have shown that AI is expected to reach USD 190.6 billion by 2025 from USD 21.5 billion in 2018, at a CAGR of 36.6% during the forecast period. AI and ML can assist businesses in making better decisions using real-time data.
- Big data testing
Data is key to any organisation’s success or failure. Big data relates to a large dataset that cannot be processed using traditional methods. To test such datasets, organisations utilise many large-scale tools, methods and frameworks created for big data.
Big Data Testing will be one of the key software testing trends that will positively influence different industries. Big Data is mostly used across various industries such as finance, healthcare, retail, media, banking, telecom service, etc.; it helps to improve decisions, validate data, and make better marketing strategies and business decisions. Most testing includes data quality testing, performance testing, and functional testing of structured and unstructured data.
- Shift-left Testing
Shift-left testing is an approach to performance testing in the early stage of the life cycle. Traditionally software testing is done on the right side of the workflow, whereas shift-left testing is always done on the left side. The difficulty with the traditional way is the negative effects on the business, such as being time-consuming, delayed bug detection and increasing costs.
The ability to test in the early stages of software development ensures a high quality of code, as well as saves time and money.
- Blockchain testing
Blockchain testing is one of the most advanced and increasing technologies currently in the market due to the rise of blockchain technology. Blockchain testing aims to check the security and dependability of the shared ledger system that connects different blocks.
It provides dignity in transactions between parties who do not trust each other. It is fairly secure encryption and is an incorruptible digital ledger of economic transactions that can be programmed to record financial transactions and virtually everything of value.
- Robotic Process Automation
This is used to automate software jobs that run regularly without manual intervention. RPA tools are mostly used across different industries such as finance, health care, banking, customer service, etc.,
Research and Markets survey 2022 report, the Robotic Process Automation global market is projected to reach a revised size of USD 3.4 Billion by 2027, growing at a Compound Annual Growth Rate (CAGR) of 28.2% between 2020-2027.
RPA helps to cut costs, improve quality and operational controls
Read also: What Is Robotic Process Automation (RPA), and Why Does Your Business Need It
Conclusion
Organisations are willing to learn about the different software testing trends to secure that software is error-free and ready for users.
Whether a testing professional or a company, you must be constantly informed of these software testing trends to stay ahead in the ever-changing industry.
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